• Journal of Digital Contents Society
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• v.18 no.3
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• pp.517-524
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• 2017

The aim of this study was to provide basic contents which are based on the appropriate understanding, use, and information of smart devices for young children. The researcher surveyed mothers regarding the effects of their children's development as a result of using smart devices. A survey of 134 mothers with three to five-year-old children currently attending daycare centers or kindergartens was carried out. By using SPSS 18.0, the collected data of survey results was implemented via t-test and F verification. Study findings are as follows: First, the result of the survey analysis indicated that most mothers perceived that using smart devices did not heavily influence their child's development. Second, the mothers' perception was varied depending on whether it was their child's the first time using smart devices, the mother's education level, and on the mother's employment situation. However, there was no difference of perception in regards to gender. The results of this study suggest the necessity of parental intervention and prevention of side effect of children 's smart device use and parent education program.

• The Journal of Bigdata
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• v.5 no.1
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• pp.197-208
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• 2020

Lexical ambiguity means that a word can be interpreted as two or more meanings, such as homonym and polysemy, and there are many cases of word sense ambiguation in words expressing emotions. In terms of projecting human psychology, these words convey specific and rich contexts, resulting in lexical ambiguity. In this study, we propose an emotional classification model that disambiguate word sense using bidirectional LSTM. It is based on the assumption that if the information of the surrounding context is fully reflected, the problem of lexical ambiguity can be solved and the emotions that the sentence wants to express can be expressed as one. Bidirectional LSTM is an algorithm that is frequently used in the field of natural language processing research requiring contextual information and is also intended to be used in this study to learn context. GloVe embedding is used as the embedding layer of this research model, and the performance of this model was verified compared to the model applied with LSTM and RNN algorithms. Such a framework could contribute to various fields, including marketing, which could connect the emotions of SNS users to their desire for consumption.

• The Journal of Korean Association of Computer Education
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• v.12 no.2
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• pp.61-75
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• 2009

Modern day people can easily use an e-mail client for general communication, because of using Internet and cellular phone. The mail client for the purpose of private and business affair, advertisement, news searching, and business letter is widely used and has side effects. People could send an important document via an electronic mail client. It is important to support an e-mail client intelligent. We think that many kinds of techniques of natural language processing must be provided in the client with human's emotion. We consider to design a new mail client with six kinds of senders' emotional information; delight, angry, sad feeling and message to express, manner of talking, a discomfort index etc. Before sending an e-mail, we suggest a user to correct a bad word because we do not want to feel bad to a receiver. We present a proper process of sending/receiving for users with a new designed e-mail clients.

• Journal of Science Education
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• v.43 no.3
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• pp.318-328
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• 2019

The purpose of this study is to investigate the teacher-students interactions shown in the images of elementary science class by preservice teachers. We applied nine analysis criteria in three domains such as emotional support (climate, regard for student perspectives, teacher sensitivity), classroom organization (instructional learning formats, behavior management, productivity), and instructional support (quality of feedback, language modeling, concept development) in the aspects of positive or negative interactions The results show that majority of student-teachers tended to prefer positive interactions especially regarding instructional learning formats or concept development. For the image of avoided class, they tended to show negative interactions related to instructional learning formats or regard for student perspectives. However, they showed extremely lower frequencies for some categories of negative interactions. Female preservice teachers tended to have slightly higher frequencies for some positive interactions than their counterpart. The findings indicate possible approaches to teachers' professional development and further research.

• Archives of design research
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• v.17 no.1
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• pp.253-264
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• 2004

The final goal of this research is development of graphic design evaluation methodology in elevation of a usability at the mobile internet services and of measurement model which can forecast user needs in interface design, and systemize evaluation basis. For this, we systemize core contents of GUI design evaluation methodology and embodied UI design support system that supports prototype layout and evaluation process directly. The sight language that can inform flow of controled information by the quick and implicated method so that user may complete task in a short time without overload of recognition in limited display environment of Small Screen device it must improve objectivity in the reflection of UI design with image. Thus evaluation methodology that can evaluate usability of mobile internet systematically is important and specially, graphic design evaluation model which can forecast user's design need and trend is meaningful because of special quality that can reflect sensitive aspect of user in interface design. Mobile internet GUI was done by the result of this design evaluation, and I hope this result can be utilized for the GUI development of Ubiquitous environment for the future research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.7
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• pp.757-763
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• 2019

Youtube has become so popular that it is called the age of YouTube. As the number of users and contents increase, the choice of information increases. However, it is difficult to select information that meets the needs of users. YouTube provides recommendations based on their watch list. Therefore, in this study, we want to analyze the channel of user's subject in various angles and provide the proposed scheme based on the crawled channels, measurement of the perception of channels and channel videos through quantitative data and hidden qualitative data analysis. Based on the above two data analysis, it is possible to know the recognition of the channel and the recognition of the channel video, thereby providing a ranking of the channels that deal with the topic. Finally, as a case study, we recommend English learning channels to users based on numerical data statistics and emotional analysis results to maximize flipped learning effect regardless of time and space.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.97-108
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• 2019

Purpose: The purpose of this study is to propose a new Risk Priority Number(RPN) evaluation method which analyzes value of product functions by mining customer opinions in Social Network Service(SNS). Methods: A traditional RPN is measured by three evaluation standards (Severity, Occurrence, Detection) which are analyzed by manufacturing engineers and researchers. On the other hand, these standards are analyzed by customers' viewpoints through SNS opinion mining in this research. In order to extract customer feedbacks from textual data sets, the methodology in this paper implies natural language processing, hereby collecting product related data sets and analyzing the opinions automatically. An emotional polarity of an opinion indicates severity, while the number of negative opinion shows occurrence, and the entire number of customer opinion refers to detection. Results: The results of this study are as follows; As a result of the CRPN evaluation, it is confirmed that the features evaluated as risky are highly likely to be improved in the next series. Therefore, CRPN is an effective risk assessment model that reflects customer feedback. Conclusion: Reflecting customer feedback is a useful tool for risk assessment of the product as well as for developing new products and improving existing products.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.177-186
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• 2021

This review aims to propose a model that can reinterpret the abnormal and functional connections between cognitive processes and emotional regulations based on the neurocognitive networks for a comprehensive understanding of pathologic processes and treatment approach of depression and anxiety disorder. Through the processes of rebuilding the network model for depression and anxiety disorder, it was confirmed that depression can be said to be 'over-immersion in self-referencing' due to hyper-activation of default mode network (DMN), and anxiety disorders to be 'disconnection with self-referencing' due to hypo-activation of DMN. The attempts to link up between abnormal activation and pathological function of DMN which is thought to be involved in self-referential processing associated with self-consciousness and projection among neurocognitive networks may be another starting point that can afford to be suggestive in integrated interpretation and therapeutic approach to depression and anxiety disorder.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.162-172
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• 2022

This study aimed to investigate the effects of science learning motivation and science self-efficacy on the science learning flow of preservice elementary teachers. The study recruited 77 preservice elementary teachers during their sophomore year from the B university of education. Descriptive statistics, correlation coefficient, and multiple regression were used for data analysis. The results were as follows: science learning motivation and science self-efficacy exerted a significant positive correlation with and a statistically significant effect on science learning flow. Satisfaction was the main influential subelement of science learning motivation. For science self-efficacy, the main influential subelements were emotional stability and language encouragement. Moreover, it was deduced that self-efficacy exerted a greater effect on science learning flow than science learning motivation.

• Journal of TMJ Balancing Medicine
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• v.13 no.sup
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• pp.9-14
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• 2023

Objectives: The purpose of this study was to investigate patients' demand for music and art therapy in the treatment of Parkinson's disease and to understand how patients view the use of music and art therapy as a complementary form of treatment that can improve their quality of life and increase their self-efficacy in addition to medication. Methods: To this end, 60 Parkinson's patients visiting Daejeon Korean Medicine Hospital at Daejeon University were surveyed about music and art therapy. Results: The survey demonstrated a highly positive response to the music program, with strong belief in its efficacy for Parkinson's disease and significant interest in participation. Group music therapy was perceived as effective for enhancing mental health, respiratory function, language disorders, and overall quality of life. Although the art program was also deemed effective, patients showed slightly lower interest and willingness to participate compared to music therapy. The patients preferred 60-minute sessions once a week for about 8 weeks. Conclusions: We propose the following directions for a Parkinson's music and art therapy program. First, develop a once-a-week, 8-week music and art program for Parkinson's patients. Second, design the music program to focus on improving respiratory function and quality of life. Third, the art program focuses on creating a sense of security and comfort through emotional exchange among patients and improving self-efficacy.